Alternatives and similar repositories for awesome-tensor-compilers

Users that are interested in awesome-tensor-compilers are comparing it to the libraries listed below

• zwang4 / awesome-machine-learning-in-compilers
  Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisati…
  ☆1,641Updated 4 months ago
• BBuf / tvm_mlir_learn
  compiler learning resources collect.
  ☆2,643Updated 9 months ago
• llvm / torch-mlir
  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
  ☆1,715Updated last week
• j2kun / mlir-tutorial
  MLIR For Beginners tutorial
  ☆1,193Updated 5 months ago
• KEKE046 / mlir-tutorial
  Hands-On Practical MLIR Tutorial
  ☆701Updated 2 years ago
• buddy-compiler / buddy-mlir
  An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).
  ☆678Updated this week
• flame / how-to-optimize-gemm
  ☆1,977Updated 2 years ago
• BBuf / how-to-optim-algorithm-in-cuda
  how to optimize some algorithm in cuda.
  ☆2,747Updated this week
• iree-org / iree
  A retargetable MLIR-based machine learning compiler and runtime toolkit.
  ☆3,547Updated this week
• onnx / onnx-mlir
  Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
  ☆961Updated this week
• microsoft / nnfusion
  A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
  ☆1,004Updated last year
• Liu-xiandong / How_to_optimize_in_GPU
  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…
  ☆1,219Updated 2 years ago
• tpoisonooo / how-to-optimize-gemm
  row-major matmul optimization
  ☆696Updated 4 months ago
• d2l-ai / d2l-tvm
  Dive into Deep Learning Compiler
  ☆645Updated 3 years ago
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆1,011Updated 4 months ago
• jiazhihao / TASO
  The Tensor Algebra SuperOptimizer for Deep Learning
  ☆734Updated 2 years ago
• ByteDance-Seed / Triton-distributed
  Distributed Compiler based on Triton for Parallel Systems
  ☆1,307Updated 2 weeks ago
• KnowingNothing / compiler-and-arch
  A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture
  ☆517Updated 11 months ago
• mirage-project / mirage
  Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
  ☆2,065Updated this week
• alibaba / BladeDISC
  BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
  ☆912Updated last year
• cloudcores / CuAssembler
  An unofficial cuda assembler, for all generations of SASS, hopefully ：）
  ☆566Updated 2 years ago
• Jokeren / Awesome-GPU
  Awesome resources for GPUs
  ☆605Updated 2 years ago
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆469Updated last year
• mlc-ai / mlc-zh
  ☆623Updated 3 weeks ago
• flame / blislab
  BLISlab: A Sandbox for Optimizing GEMM
  ☆553Updated 4 years ago
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆2,222Updated last year
• bytedance / byteir
  A model compilation solution for various hardware
  ☆458Updated 4 months ago
• gpu-mode / lectures
  Material for gpu-mode lectures
  ☆5,523Updated last month
• flagos-ai / FlagGems
  FlagGems is an operator library for large language models implemented in the Triton Language.
  ☆824Updated this week
• HazyResearch / ThunderKittens
  Tile primitives for speedy kernels
  ☆3,038Updated this week